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    <ol class="ou-ancestors" id="rise-breadcrumb">
        <li><a href="http://library.open.ac.uk">OU Library Services</a></li>
        <li><a href="/rise/">MyRecommendations</a></li>
        <li>Frequently Asked Questions (FAQs)</li>
        <li style="float:right;background:none;"><a href="/rise/?page=FAQ">FAQ</a></li>
        <li style="float:right;background:none;"><a href="/rise/?page=privacy">Privacy Policy</a></li>
        <li style="float:right;background:none;"><a href="http://www.surveymonkey.com/s/7LHF7XH" target="_blank">Feedback</a></li>
        <li style="float:right;background:none;"><a id="new-search" href="#">New Search</a></li>
    </ol>
 
    <ol>
        <li><a href="#1">What is RISE / MyRecommendations?</a></li>
        <li><a href="#2">Where do the recommendations come from?</a>
            <ol style="list-style-type:lower-roman">
                <li><a href="#2a">&quot;These resources may be related to others you've viewed recently&quot;</a></li>
                <li><a href="#2b">&quot;People on your course(s) viewed&quot;</a></li>
                <li><a href="#2c">&quot;People using similar search terms often viewed&quot;</a></li>
            </ol>
        </li>
        <li><a href="#3">Why have I been shown an irrelevant recommendation?</a></li>
        <li><a href="#4">Why can't I click any links in the MyRecommendations System?</a></li>
        <li><a href="#5">One-Stop Search iGoogle Gadget FAQ</a>
            <ol style="list-style-type:lower-roman">
                <li><a href="#5a">How do I install the One-Stop Search iGoogle Gadget?</a></li>
                <li><a href="#5b">Do I need to log-in?</a></li>
                <li><a href="#5c">Where can I install this gadget?</a></li>
            </ol>
        </li>
    </ol>
        
        <a id="1"><h4>What is RISE / MyRecommendations?</h4></a>
        <p>RISE is a project at the Open University Library that has been funded by <a href="http://www.jisc.org.uk">JISC</a> as part of the Infrastructure for Education and Research Programme 
        Activity Data strand. RISE aims to exploit the unique scale of the Open University (with over 100,000 annual unique users of e-resources) by using attention 
        data recorded by EZProxy to provide recommendations to users of the recently introduced <a href="http://www.ebscohost.com/discovery">EBSCO Discovery Solution</a>.<br/>
        More information about RISE & MyRecommendations can be found on the <a href="http://www.open.ac.uk/blogs/RISE">Project Blog</a>.</p>
        
        <a id="2"><h4>Where do the recommendations come from?</h4></a>
        <p><a id="2a"></a>i. <span style="text-decoration:underline;">&quot;These resources may be related to others you've viewed recently&quot;</span><br/>
        These recommendations are generated for a resource-pair. For example, if users commonly view resource B after viewing resource A, the system 
        considers this to be a relationship, and will recommend resource B to people viewing resource A in the future.<br/>
        As the system doesn't host resources internally, it instead looks at a user's previously viewed resources (most recent), and then checks 
        for the most often viewed resources by users who've also viewed those same (most recent) resources.</p>
        
        <p><a id="2b"></a>ii. <span style="text-decoration:underline;">&quot;People on your course(s) viewed&quot;</span><br/>
        This type of recommendation is designed to show the user what people studying their course have viewed recently.<br/>
        As the data used by the system expands over time, it will also be able to show recommendations more relevant to the current stage of a course.<br/>
        The recommendations are generated by analyzing the resources most viewed by people on a particular course.</p>
        
        <p><a id="2c"></a>iii. <span style="text-decoration:underline;">&quot;People using similar search terms often viewed&quot;</span><br/>
        We have a growing data-set on search-terms used, and the resources most often viewed as a result of these searches.<br/>
        For example, if people searching for &quot;XYZ&quot; most often visit the 50th result returned by a regular search, this part of the 
        recommendation algorithm will pick up on this, hence in future when people search for &quot;XYZ&quot;, the most often visited results will 
        appear straight away for users in the &quot;People using similar search terms often viewed&quot; section.</p>
        
        <a id="3"><h4>Why have I been shown an irrelevant recommendation?</h4></a>
        <p>The system is designed such that it isn't influenced by any direct input, instead it will mature with every action carried out by its users.<br/>
        For this reason, often due to users' sporadic browsing patterns, the system may analyze &amp; identify a potential recommendation that isn't particularly 
        useful or relevant.<br/>
        If you're receiving recommendations that don't seem relevant, there's a strong chance that there's still limited data to provide a more 
        relevant recommendation in this instance.<br/>
        You can help to improve the system by visiting resources, and then rating them as &quot;Not Relevant&quot;, &quot;Somewhat Relevant&quot; or &quot;Very Relevant&quot; 
        when prompted by the MyRecommendations system. These ratings have a strong effect on recommendations provided in the future, as well as 
        providing valuable feedback.</p>
        
        <a id="4"><h4>Why can't I click any links in the MyRecommendations System?</h4></a>
        <p>Our articles are provided to Open University Staff and Students only, if you're signed in as a different type of user please log-out and try again with your 
        student/staff OUCU.</p>
        
        <a id="5"><h4>One-Stop Search iGoogle Gadget FAQ</h4></a>
        <p><a id="5a"></a>i. <span style="text-decoration:underline;">How do I install the One-Stop Search iGoogle Gadget?</span><br/>
        From within <a href="http://www.google.com/ig">iGoogle</a>, click on &quot;Add Stuff &#0187;&quot;, and either search for &quot;Open University One-Stop Search&quot; or click 
        &quot;Add feed or gadget&quot; (bottom left), copy the following url:<br/>
        <span style="font-style:italic;">http://library.open.ac.uk/rise/google_gadget/risesearch.xml</span><br/>
        Then click &quot;Add&quot;, and &quot;OK&quot; on the dialog that appears. The gadget will then be added to your <a href="http://www.google.com/ig">iGoogle</a> Page.</p>
        
        <p><a id="5b"></a>ii. <span style="text-decoration:underline;">Do I need to log in?</span><br/>
        You can perform searches without logging in, however for the gadget to provide you with recommendations, you'll need to click the 
        &quot;Log In&quot; link from within the gadget, and enter your details on the resulting page.<br/>
        If there are any recommendations available, they'll appear automatically once you're successfully logged in.</p>
        
        <p><a id="5c"></a>iii. <span style="text-decoration:underline;">Where can I install this gadget?</span><br/>
        Currently, this gadget is only intended for use on <a href="http://www.google.com/ig">iGoogle</a>.
 
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								<a href="http://www.jisc.ac.uk/"><img style="width:102px;float:right;clear:none;border:0;" src="images/jisc_logo.jpg" alt="JISC"/></a>
								<a href="http://www.open.ac.uk/blogs/RISE/"><img style="margin:0 0 10px 10px;border:0;width:407px;display:block;" alt="RISE - Recommendations Improve the Search Experience" src="images/rise_logo.jpg"/></a>
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